Li I Feng

20020156385, Oct 24, 2002

Apr 24, 2001

09/841559

Genquan Feng - New York NY, US
Joseph Shen - Sands Point NY, US
Li Feng - Elmhurst NY, US

A61B005/04

600/515000

Non-invasive to early detect myocardial inschemia is a very important problem in the medical profession. The invention used the method introduced in U.S. Pat. No. 5,509,425 and U.S. Pat. No. 5,649,544 to acquire positive (occurrence) indexes in every case of a sufficient amount database. Used the database empirically screening the said EMPI indexes, to select the CAD related indexes “Ic” and the NCI related indexes “In”, according to the positive rate of those indexes in the CAD patients and NCI patients which one is higher. Combined the “Ic” and “In” as “one Group” (Cluster), namely “Icn” to get the “index patterns” constructed by “Icn”, called “Pcn”. Then used the batabase empirically differentiating the “Pcn” to two Groups, one is “CAD related Group”, called “Pc”, and another is “NCI related Group”, called “Pn”, according to the positive rate of those “index patterns” in the CAD patients and NCI patients which one is higher. Then grossly identified the patient with the index pattern(s) within the scope of the Group “Pc” as a CAD patient, and grossly identified the patient as NCI patient when he has the index pattern(s) within the scope of the Group “Pn”. Finally, optimize the “gross diagnosis”, according to the principle of the method introduced in U.S. Pat. No. 5,542,429, to get final results (final differential diagnosis suggestions).

20220203132, Jun 30, 2022

Apr 24, 2020

17/605394

- New York NY, US
Li Feng - New York NY, US

Memorial Sloan Kettering Cancer Center - New York NY

A61N 5/10
G01R 33/48
G01R 33/56
G06T 7/246
G06V 20/64
G06V 40/20

Described is an approach for tracking 3D organ motion in real-time using magnetic resonance imaging (MRI). The approach may include offline learning, which may acquire signature and 3D imaging data over multiple respiratory cycles to create a database of high-resolution 3D motion states. The approach may further include online matching, which may acquire signature data only in real-time (latency less than 0.2 seconds). From a motion state and motion signature database, the 3D motion state whose signature best (or sufficiently) matches the newly-acquired signature data may be selected. Real-time 3D motion tracking may be accomplished by performing time-consuming acquisition and reconstruction work in an offline learning phase, leaving just signature acquisition and correlation analysis in an online matching step, minimizing or otherwise reducing latency. The approach may be used to adapt radiotherapy procedures based on tumor motion using a magnetic resonance linear accelerator (MR-Linac) system.

20200225307, Jul 16, 2020

Mar 30, 2020

16/834399

- New York NY, US
Li Feng - NewYork NY, US
Tobias Block - New York NY, US
Hersh Chandarana - West New York NJ, US
Leon Axel - New York NY, US
Daniel K. Sodickson - Larchmont NY, US

G01R 33/561
G01R 33/48
A61B 5/055
A61B 5/00
G01R 33/28

Exemplary method, system and computer-accessible medium can be provided which facilitates an acquisition of radial data, which can be continuous, with an exemplary golden-angle procedure and reconstruction with arbitrary temporal resolution at arbitrary time points. According to such exemplary embodiment, such procedure can be performed with a combination of compressed sensing and parallel imaging to offer a significant improvement, for example in the reconstruction of highly undersampled data. It is also possible to provide an exemplary procedure for highly-accelerated dynamic magnetic resonance imaging using Golden-Angle radial sampling and multicoil compressed sensing reconstruction, called Golden-angle Radial Sparse Parallel MRI (GRASP).

20190064296, Feb 28, 2019

Mar 19, 2018

15/925688

- New York NY, US
Li Feng - New York NY, US
Tobias Block - New York NY, US
Hersh Chandarana - West New York NJ, US
Leon Axel - New York NY, US
Daniel K. Sodickson - Larchmont NY, US

G01R 33/561
G01R 33/48
A61B 5/055
G01R 33/28
A61B 5/00
G01R 33/563

Exemplary method, system and computer-accessible medium can be provided which facilitates an acquisition of radial data, which can be continuous, with an exemplary golden-angle procedure and reconstruction with arbitrary temporal resolution at arbitrary time points. According to such exemplary embodiment, such procedure can be performed with a combination of compressed sensing and parallel imaging to offer a significant improvement, for example in the reconstruction of highly undersampled data. It is also possible to provide an exemplary procedure for highly-accelerated dynamic magnetic resonance imaging using Golden-Angle radial sampling and multicoil compressed sensing reconstruction, called Golden-angle Radial Sparse Parallel MRI (GRASP).

20150077112, Mar 19, 2015

Apr 19, 2013

14/395752

- New York NY, US
Li Feng - New York NY, US
Tobias Block - New York NY, US
Chandarana Hersh - West New York NJ, US
Leon Axel - New York NY, US
Daniel K. Sodickson - Larchmont NY, US

G01R 33/561
G01R 33/28
G01R 33/48

324318

Exemplary method, system and computer-accessible medium can be provided which facilitates an acquisition of radial data, which can be continuous, with an exemplary golden-angle procedure and reconstruction with arbitrary temporal resolution at arbitrary time points. According to such exemplary embodiment, such procedure can be performed with a combination of compressed sensing and parallel imaging to offer a significant improvement, for example in the reconstruction of highly undersampled data. It is also possible to provide an exemplary procedure for highly-accelerated dynamic magnetic resonance imaging using Golden-Angle radial sampling and multicoil compressed sensing reconstruction, called Golden-angle Radial Sparse Parallel MRI (GRASP).